| name | textweb |
| description | Use this skill to browse the web textually. |
You have access to a text-based web browser via the textweb_* tools. Pages are rendered as structured character grids instead of screenshots.
textweb_navigate(url) — Opens a page and returns a text gridtextweb_click(ref) — Clicks element [ref]textweb_type(ref, text) — Types into input [ref]textweb_select(ref, value) — Selects dropdown optiontextweb_scroll(direction) — Scrolls up/down/toptextweb_snapshot() — Re-renders current pagetextweb_press(key) — Presses a key (Enter, Tab, etc.)textweb_upload(ref, path) — Uploads a file to inputInteractive elements have reference numbers in brackets:
| Element | Appears as | Action |
|---|---|---|
| Link | [3]Click me | click(3) |
| Button | [5 Submit] | click(5) |
| Text input | [7:placeholder___] | type(7, "text") |
| Checkbox | [9:X] Label / [9: ] Label | click(9) to toggle |
| Radio | [11:●] Option / [11:○] Option | click(11) |
| Dropdown | [13:▼ Selected] | select(13, "value") |
| File input | [15:📎 Choose file] | upload(15, "/path/to/file") |
| Heading | ═══ TITLE ═══ | (not interactive) |
snapshot() if you need to re-read the page after waiting for dynamic contentReview code changes with a focused multi-agent workflow. Use when auditing a diff, branch, pull request, patch, commit range, or local worktree for bugs, regressions, missing tests, security issues, API breakage, maintainability risks, or review readiness.
Build, audit, or improve agentic coding/research systems and their harnesses. Use when designing agent workflows, small-model scaffolds, tool schemas, progressive-disclosure context, repository knowledge maps, guardrails, validation loops, subagents, evals, recovery mechanisms, or autonomous-agent safety policies.
Efficiently capture web pages as clean markdown and query them with `mq` to avoid loading full content into context. Use when browsing web pages, extracting specific sections, or summarizing sources with minimal context usage.
Use this skill for academic-level research via a multi-agent swarm.
Query markdown files efficiently with mq CLI. Use when exploring documentation structure, extracting specific sections, or reducing token usage when reading .md files.
Run DuckDuckGo web searches from the terminal using `ddgr` with JSON output. Use when the task calls for lightweight web search, quick result triage, or filtering by region/time/site.